End of training

README.md

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+---
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: distilroberta-base-finetuned-rightarticles-mlm-epochier
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distilroberta-base-finetuned-rightarticles-mlm-epochier
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6927
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.9628        | 1.0   | 806  | 1.7725          |
+| 1.8591        | 2.0   | 1612 | 1.7438          |
+| 1.8011        | 3.0   | 2418 | 1.7308          |
+| 1.7628        | 4.0   | 3224 | 1.7214          |
+| 1.7353        | 5.0   | 4030 | 1.7147          |
+| 1.6951        | 6.0   | 4836 | 1.6986          |
+| 1.6592        | 7.0   | 5642 | 1.6819          |
+| 1.6549        | 8.0   | 6448 | 1.6776          |
+| 1.6516        | 9.0   | 7254 | 1.6647          |
+| 1.6296        | 10.0  | 8060 | 1.6840          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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